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resources by being designed as dual-purpose elements targeting geothermal heat exchange and structural support for buildings. Yet, their wider use has been hindered by the lack of (i) sustainable expertise
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situation. To demonstrate and prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction
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work on developing improved methods using deep learning with 3D point clouds to characterize forest ecosystem structure and function. 3D point clouds from LiDAR and photogrammetry provide an excellent
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inertial navigation systems. Personal characteristics To successfully complete a doctoral degree (PhD), it is important that you are able to: Work independently and in a structured way, set goals and make
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activities can be found on the MetaExplore website: https://metaexplore.eu/ At NTNU, the selected candidate will work on the project 'Novel expression tools and alternative hosts to improve hit rates from
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structured way, set goals and make plans to achieve them Present and discuss your research with other professionals Get involved and contribute constructively with feedback Work constructively under pressure
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automated creation of tender documents, specifications, and requirement structures. 2D and 3D spatial reasoning, including general arrangement exploration, layout optimization, and constraint-aware geometry
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independently and in a structured manner, while also being capable of effective collaboration with others The applicant must exhibit both the ability and motivation to undertake a PhD project, under the rules and
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. More information on the research group can be found here: https://uit.no/research/elsys . The position is for a period of three years. The objective of the position is to complete research training
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will develop models to understand non-equilibrium transport of orbital angular momentum in superconducting hybrid structures. This is part of an effort to determine the merits of superconducting